Tamara Terzian

2.7k total citations · 1 hit paper
21 papers, 2.0k citations indexed

About

Tamara Terzian is a scholar working on Oncology, Molecular Biology and Biotechnology. According to data from OpenAlex, Tamara Terzian has authored 21 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 15 papers in Molecular Biology and 6 papers in Biotechnology. Recurrent topics in Tamara Terzian's work include Cancer-related Molecular Pathways (14 papers), Cancer Research and Treatments (6 papers) and Epigenetics and DNA Methylation (5 papers). Tamara Terzian is often cited by papers focused on Cancer-related Molecular Pathways (14 papers), Cancer Research and Treatments (6 papers) and Epigenetics and DNA Methylation (5 papers). Tamara Terzian collaborates with scholars based in United States, Australia and Singapore. Tamara Terzian's co-authors include Guillermina Lozano, Tomoo Iwakuma, Adel K. El‐Naggar, Neil F. Box, Young‐Ah Suh, Yasmine A. Valentin-Vega, John M. Parant, Lisa Caldwell, Louise C. Strong and V. Ashutosh Rao and has published in prestigious journals such as Cell, Journal of Clinical Investigation and Genes & Development.

In The Last Decade

Tamara Terzian

21 papers receiving 2.0k citations

Hit Papers

Gain of Function of a p53 Hot Spot Mutation in a Mouse Mo... 2004 2026 2011 2018 2004 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tamara Terzian United States 18 1.5k 1.5k 480 322 222 21 2.0k
J. Wade Harper United States 2 1.3k 0.9× 1.4k 0.9× 403 0.8× 328 1.0× 149 0.7× 3 2.0k
Sarah Francoz Belgium 11 1.4k 0.9× 1.2k 0.8× 310 0.6× 238 0.7× 172 0.8× 12 1.8k
Steven J. Kuerbitz United States 10 1.8k 1.2× 1.6k 1.1× 473 1.0× 438 1.4× 159 0.7× 19 2.6k
Alison Sparks United Kingdom 16 2.1k 1.4× 1.6k 1.1× 367 0.8× 390 1.2× 224 1.0× 18 2.4k
Jeremy P. Blaydes United Kingdom 32 1.6k 1.1× 987 0.7× 342 0.7× 212 0.7× 133 0.6× 54 2.2k
Swati Palit Deb United States 19 966 0.7× 1000 0.7× 313 0.7× 250 0.8× 110 0.5× 39 1.5k
Charanjit Sandhu Canada 11 1.7k 1.2× 1.7k 1.2× 337 0.7× 191 0.6× 344 1.5× 11 2.4k
Adam Kaczorowski Germany 9 1.2k 0.8× 1.4k 1.0× 655 1.4× 129 0.4× 237 1.1× 27 2.1k
Christel Guillouf France 19 1.3k 0.9× 767 0.5× 331 0.7× 166 0.5× 123 0.6× 32 1.6k
Mark J. Hynes United States 7 767 0.5× 1.2k 0.8× 502 1.0× 128 0.4× 82 0.4× 9 1.5k

Countries citing papers authored by Tamara Terzian

Since Specialization
Citations

This map shows the geographic impact of Tamara Terzian's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tamara Terzian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamara Terzian more than expected).

Fields of papers citing papers by Tamara Terzian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tamara Terzian. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tamara Terzian. The network helps show where Tamara Terzian may publish in the future.

Co-authorship network of co-authors of Tamara Terzian

This figure shows the co-authorship network connecting the top 25 collaborators of Tamara Terzian. A scholar is included among the top collaborators of Tamara Terzian based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tamara Terzian. Tamara Terzian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Terzian, Tamara, et al.. (2024). Awareness of skin cancer screening coverage in U.S. healthcare plans: Is there a need to better educate the public?. Preventive Medicine Reports. 46. 102862–102862. 1 indexed citations
2.
Terzian, Tamara, et al.. (2016). Senescence-Like Phenotypes in Human Nevi. Methods in molecular biology. 1534. 175–184. 17 indexed citations
3.
Box, Neil F., Etienne H. Meyer, Nancy L. Asdigian, et al.. (2016). 642 Uncovering the role of UV exposure history and genetics in determining skin sun damage. Journal of Investigative Dermatology. 136(5). S114–S114. 1 indexed citations
4.
Goh, Amanda M., Yuezhen Xue, Marc Leushacke, et al.. (2015). Mutant p53 accumulates in cycling and proliferating cells in the normal tissues of p53 R172H mutant mice. Oncotarget. 6(20). 17968–17980. 16 indexed citations
5.
Barón, Anna E., Nancy L. Asdigian, Victoria González, et al.. (2014). Interactions between Ultraviolet Light and MC1R and OCA2 Variants Are Determinants of Childhood Nevus and Freckle Phenotypes. Cancer Epidemiology Biomarkers & Prevention. 23(12). 2829–2839. 24 indexed citations
6.
Zerón-Medina, Jorge, Xuting Wang, Emmanouela Repapi, et al.. (2013). A Polymorphic p53 Response Element in KIT Ligand Influences Cancer Risk and Has Undergone Natural Selection. Cell. 155(2). 410–422. 96 indexed citations
7.
Wang, Yongxing, Young‐Ah Suh, James G. Jackson, et al.. (2011). Restoring expression of wild-type p53 suppresses tumor growth but does not cause tumor regression in mice with a p53 missense mutation. Journal of Clinical Investigation. 121(3). 893–904. 106 indexed citations
8.
Walker, Graeme J., H. Peter Soyer, Tamara Terzian, & Neil F. Box. (2011). Modelling melanoma in mice. Pigment Cell & Melanoma Research. 24(6). 1158–1176. 32 indexed citations
9.
Terzian, Tamara, Melissa Dumble, Christina Thaller, et al.. (2011). Rpl27a mutation in the sooty foot ataxia mouse phenocopies high p53 mouse models. The Journal of Pathology. 224(4). 540–552. 22 indexed citations
10.
Torchia, Enrique C., Carlos Caulı́n, Sergio Acı́n, et al.. (2011). Myc, Aurora Kinase A, and mutant p53R172H co-operate in a mouse model of metastatic skin carcinoma. Oncogene. 31(21). 2680–2690. 27 indexed citations
11.
Suh, Young‐Ah, Sean M. Post, Daniela R. Macció, et al.. (2011). Multiple Stress Signals Activate Mutant p53 In Vivo. Cancer Research. 71(23). 7168–7175. 101 indexed citations
12.
Terzian, Tamara, Enrique C. Torchia, Daisy Dai, et al.. (2010). p53 prevents progression of nevi to melanoma predominantly through cell cycle regulation. Pigment Cell & Melanoma Research. 23(6). 781–794. 50 indexed citations
13.
Valentin-Vega, Yasmine A., Neil F. Box, Tamara Terzian, & Guillermina Lozano. (2009). Mdm4 loss in the intestinal epithelium leads to compartmentalized cell death but no tissue abnormalities. Differentiation. 77(5). 442–449. 24 indexed citations
14.
Post, Sean M., et al.. (2009). p53-dependent senescence delays Eμ-myc-induced B-cell lymphomagenesis. Oncogene. 29(9). 1260–1269. 52 indexed citations
15.
Box, Neil F. & Tamara Terzian. (2008). The role of p53 in pigmentation, tanning and melanoma. Pigment Cell & Melanoma Research. 21(5). 525–533. 71 indexed citations
16.
Iwakuma, Tomoo, et al.. (2008). Mdm2 and Mdm4 Loss Regulates Distinct p53 Activities. Molecular Cancer Research. 6(6). 947–954. 76 indexed citations
17.
Terzian, Tamara, et al.. (2008). The inherent instability of mutant p53 is alleviated by Mdm2 or p16 INK4a loss. Genes & Development. 22(10). 1337–1344. 292 indexed citations
18.
Terzian, Tamara, et al.. (2007). The p53–Mdm2 network in progenitor cell expansion during mouse postnatal development. The Journal of Pathology. 213(4). 360–368. 50 indexed citations
19.
Iwakuma, Tomoo, Yuki Tochigi, Carolyn S. Van Pelt, et al.. (2007). Mtbp haploinsufficiency in mice increases tumor metastasis. Oncogene. 27(13). 1813–1820. 26 indexed citations
20.
Iwakuma, Tomoo, Young‐Ah Suh, Geng Liu, et al.. (2004). Gain of Function of a p53 Hot Spot Mutation in a Mouse Model of Li-Fraumeni Syndrome. Cell. 119(6). 861–872. 822 indexed citations breakdown →

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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